:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Maheshwari, Gaurav, Bellet, Aurélien, Denis, Pascal, Keller, Mikaela
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2405.14521
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficacy of Synthetic Data as a Benchmark
by: Maheshwari, Gaurav, et al.
Published: (2024)

Curate-Train-Refine: A Closed-Loop Agentic Framework for Zero Shot Classification
by: Maheshwari, Gaurav, et al.
Published: (2026)

To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models
by: Liétard, Bastien, et al.
Published: (2024)

Optimal Transport under Group Fairness Constraints
by: Bleistein, Linus, et al.
Published: (2026)

Loss Gap Parity for Fairness in Heterogeneous Federated Learning
by: Erraji, Brahim, et al.
Published: (2026)

Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy
by: Biswas, Anjanava, et al.
Published: (2024)

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation
by: Zhu, Alan, et al.
Published: (2025)

Financial Sentiment Analysis: Leveraging Actual and Synthetic Data for Supervised Fine-tuning
by: Atsiwo, Abraham
Published: (2024)

Privacy Amplification Through Synthetic Data: Insights from Linear Regression
by: Pierquin, Clément, et al.
Published: (2025)

CasualSynth: Generating Structurally Sound Synthetic Data
by: Cheng, Zehua, et al.
Published: (2026)

Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
by: Pecher, Branislav, et al.
Published: (2026)

Privacy Amplification Persists under Unlimited Synthetic Data Release
by: Pierquin, Clément, et al.
Published: (2026)

MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection
by: Borra, Federico, et al.
Published: (2024)

Hierarchical Latent Structures in Data Generation Process Unify Mechanistic Phenomena across Scale
by: Rohweder, Jonas, et al.
Published: (2026)

Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question Answering
by: Schwabe, Tim, et al.
Published: (2025)

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
by: Patel, Ajay, et al.
Published: (2024)

BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
by: Xue, Jiaqi, et al.
Published: (2024)

DICTDIS: Dictionary Constrained Disambiguation for Improved NMT
by: Maheshwari, Ayush, et al.
Published: (2022)

Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs
by: Chan, Yung-Chieh, et al.
Published: (2024)

Towards Active Synthetic Data Generation for Finetuning Language Models
by: Kessler, Samuel, et al.
Published: (2025)

Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing
by: Xian, Ruicheng, et al.
Published: (2025)

Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation
by: Kartik, Kartik, et al.
Published: (2024)

Optimal Transport with Heterogeneously Missing Data
by: Bleistein, Linus, et al.
Published: (2025)

Reasoning-Driven Synthetic Data Generation and Evaluation
by: Davidson, Tim R., et al.
Published: (2026)

The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
by: Wagner, Stefan Sylvius, et al.
Published: (2024)

Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection
by: Deshpande, Vijeta, et al.
Published: (2026)

Synthetic Context Generation for Question Generation
by: Liu, Naiming, et al.
Published: (2024)

Transfer of Structural Knowledge from Synthetic Languages
by: Budnikov, Mikhail, et al.
Published: (2025)

Fill In The Gaps: Model Calibration and Generalization with Synthetic Data
by: Ba, Yang, et al.
Published: (2024)

Out-of-Distribution Detection using Synthetic Data Generation
by: Abbas, Momin, et al.
Published: (2025)

Dynamic Context Evolution for Scalable Synthetic Data Generation
by: Lingo, Ryan, et al.
Published: (2026)

DRTriton: Large-Scale Synthetic Data Driven Reinforcement Learning for Triton Kernel Generation
by: Guo, Siqi, et al.
Published: (2026)

Sometimes I am a Tree: Data Drives Unstable Hierarchical Generalization
by: Qin, Tian, et al.
Published: (2024)

Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
by: Zantedeschi, Valentina, et al.
Published: (2019)

Private Rate-Constrained Optimization with Applications to Fair Learning
by: Yaghini, Mohammad, et al.
Published: (2025)

DualAlign: Generating Clinically Grounded Synthetic Data
by: Li, Rumeng, et al.
Published: (2025)

A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data
by: Loni, Mohammad, et al.
Published: (2024)

RingSQL: Generating Synthetic Data with Schema-Independent Templates for Text-to-SQL Reasoning Models
by: Sterbentz, Marko, et al.
Published: (2026)

Synthetic Data Generation in Low-Resource Settings via Fine-Tuning of Large Language Models
by: Kaddour, Jean, et al.
Published: (2023)

CALICO: Conversational Agent Localization via Synthetic Data Generation
by: Rosenbaum, Andy, et al.
Published: (2024)